:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yang, Ying, Shi, Chengchun, Yao, Fang, Wang, Shouyang, Zhu, Hongtu
Format:	Preprint
Published:	2024
Subjects:	Statistics Theory
Online Access:	https://arxiv.org/abs/2403.11400
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Distributional Learning with Non-crossing Quantile Network
by: Shen, Guohao, et al.
Published: (2025)

Perturbation is All You Need for Extrapolating Language Models
by: Cen, Zetai, et al.
Published: (2026)

Nodewise Loreg: Nodewise $L_0$-penalized Regression for High-dimensional Sparse Precision Matrix Estimation
by: Shu, Hai, et al.
Published: (2024)

Online Sparse Regression with Expanding Observables
by: Yang, Ying, et al.
Published: (2026)

Causal Inference in Biomedical Imaging via Functional Linear Structural Equation Models
by: Li, Ting, et al.
Published: (2026)

Learning Perturbations to Extrapolate Your LLM
by: Cen, Zetai, et al.
Published: (2026)

Taylor's Theorem and Mean Value Theorem for Random Functions and Random Variables
by: Yang, Yifan, et al.
Published: (2021)

Graphical Construction of Spatial Gibbs Random Graphs
by: Cerqueira, Andressa, et al.
Published: (2019)

Matching-Based Policy Learning
by: Li, Xuqiao, et al.
Published: (2024)

Markov Random Fields with Proximity Constraints for Spatial Data
by: Saha, Sudipto, et al.
Published: (2024)

On Efficient Inference of Causal Effects with Multiple Mediators
by: Wei, Haoyu, et al.
Published: (2024)

Policy learning "without" overlap: Pessimism and generalized empirical Bernstein's inequality
by: Jin, Ying, et al.
Published: (2022)

Fisher Random Walk: Automatic Debiasing Contextual Preference Inference for Large Language Model Evaluation
by: Zhang, Yichi, et al.
Published: (2025)

Consistent Infill Estimability of the Regression Slope Between Gaussian Random Fields Under Spatial Confounding
by: Datta, Abhirup, et al.
Published: (2025)

A General Design-Based Framework and Estimator for Randomized Experiments
by: Harshaw, Christopher, et al.
Published: (2022)

A Simple and Optimal Policy Design with Safety against Heavy-Tailed Risk for Stochastic Bandits
by: Simchi-Levi, David, et al.
Published: (2022)

Design-Based Inference for Spatial Experiments under Unknown Interference
by: Wang, Ye, et al.
Published: (2020)

On the Maximum and Minimum of a Multivariate Poisson Distribution
by: Liu, Zheng, et al.
Published: (2024)

Anti-Concentration Inequalities for the Difference of Maxima of Gaussian Random Vectors
by: Belloni, Alexandre, et al.
Published: (2024)

How Particle-System Random Batch Methods Enhance Graph Transformer: Memory Efficiency and Parallel Computing Strategy
by: Liu, Hanwen, et al.
Published: (2025)

Universal Bootstrap for Spectral Statistics: Beyond Gaussian Approximation
by: Zhang, Guoyu, et al.
Published: (2024)

Theory of functional principal component analysis for discretely observed data
by: Zhou, Hang, et al.
Published: (2022)

Deep Regression for Repeated Measurements
by: Yan, Shunxing, et al.
Published: (2023)

Semiparametric M-estimation with overparameterized neural networks
by: Yan, Shunxing, et al.
Published: (2025)

Highly Multivariate Large-scale Spatial Stochastic Processes -- A Cross-Markov Random Field Approach
by: Chen, Xiaoqing, et al.
Published: (2024)

Design-based theory for Lasso adjustment in randomized block experiments and rerandomized experiments
by: Zhu, Ke, et al.
Published: (2021)

Random Forests as Statistical Procedures: Design, Variance, and Dependence
by: O'Connell, Nathaniel S.
Published: (2026)

On Robust Empirical Likelihood for Nonparametric Regression with Application to Regression Discontinuity Designs
by: Fang, Qin, et al.
Published: (2025)

ARMA-Design: Optimal Treatment Allocation Strategies for A/B Testing in Partially Observable Time Series Experiments
by: Sun, Ke, et al.
Published: (2024)

On the Identifiability of Diagnostic Classification Models
by: Fang, Guanhua, et al.
Published: (2017)

Combining Experimental and Historical Data for Policy Evaluation
by: Li, Ting, et al.
Published: (2024)

The Optimality of Blocking Designs in Equally and Unequally Allocated Randomized Experiments with General Response
by: Azriel, David, et al.
Published: (2022)

A Generative Approach to Quasi-Random Sampling from Copulas via Space-Filling Designs
by: Wang, Sumin, et al.
Published: (2024)

Partial and Exact Recovery of a Random Hypergraph from its Graph Projection
by: Bresler, Guy, et al.
Published: (2025)

Asymptotic Optimism of Random-Design Linear and Kernel Regression Models
by: Luo, Hengrui, et al.
Published: (2025)

Limiting spectral distributions of large consistent rank correlation matrices
by: Dong, Zhaorui, et al.
Published: (2026)

Spectral analysis of large dimensional Chatterjee's rank correlation matrix
by: Dong, Zhaorui, et al.
Published: (2025)

Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime
by: Pandit, Parthe, et al.
Published: (2024)

Optimal Spatial Anomaly Detection
by: Wang, Baiyu, et al.
Published: (2025)

Distribution-free tests of multivariate independence based on center-outward quadrant, Spearman, Kendall, and van der Waerden statistics
by: Shi, Hongjian, et al.
Published: (2021)